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Welcome to Clief Notes. Here's where to start.
1. Go check out 📚Navigating The Course to see how to get around and what's here. 2. Start with The Foundation. Concepts, folder architecture, prompting framework. Everything else builds on this. 3. Check in at the bottom of each lesson. Polls, discussion posts, other members working through the same stuff. Use them. 4. When you're ready to build real things join in on our Biweekly competitions and win some real cash. ⭐ Competitions Mega Thread 5. If you are wanting to dive into the masterminds, grab all the past templates, artifacts and resources. Upgrade and head into the The Vault for Premium and The Drawing Room (VIP) for VIP 6. Post your work. Ask questions. Help others when you can. What are you here to build?
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What do I read?
Despite all the ai hubbub and second brains someone asked what I read and IF I read at all anymore. The answer is most certainly YES. You can make connections that might be missed by a million questions with AI by diving into books and reading your self. Some books may not even have most of their pages on the web especially older ones and those are often my favorite. Here are 4 of my current favorite readings to prepare me for the future (by looking at the past) 1. Mythical Man Month (1972 by Fred Brooks) 2. Psychology of Computer Programing (1971 by Gerald M Weinberg) 3. Augmenting Human Intellect (1962 Douglas Engelbart) 4. The Creative Act: A Way of Being (2023 by Rick Ruben) Rick Rubens book is just great in general for business and creative acts.
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🏆 WEEKLY COMP #9: THE EDITOR 🏆
🎟️ PRIZE: FREE SEAT IN THE LYCEUM 🎟️ Pick your cohort. Technical, Business, or Creator. Your call. 🎯 PICK YOUR DOMAIN The domain is yours. Pick something specific. Pick something you'd actually use. A few sparks to get you thinking: - 💻 Code review editor for a specific language and level (junior TypeScript, senior Python) - 📊 Pitch deck editor for pre-seed founders - 🎨 Grant application editor for arts nonprofits - 📄 Resume editor for career switchers into tech - 📰 Op-ed editor for policy publications - 🎙️ Podcast script editor for interview shows - ⚖️ Legal brief editor for civil litigation - 📋 Product spec editor for early-stage PMs - 🎓 Academic paper editor for one specific field The more specific, the better. "Writing editor" is too broad. "Op-ed editor for tech policy publications targeting a policy audience" is right. 🗂️ THE METHODOLOGY If this is your first comp, welcome. Here's what you need to know: This week (and every week) you're learning interpretable context methodology. Folders as architecture. Each file does one job well. Your editor is a folder with five things: - 📄 identity.md (who the editor is, what work they review) - 📐 rules.md (how they critique) - 💬 examples.md (what good critique looks like) - 📚 reference/ (style guides, checklists, frameworks the editor uses) - 📖 README.md (how to use it) Drop the folder into a Claude project. Claude becomes the editor. Reusable. Shareable. Portable. 🔥 THE ANGLE THIS WEEK An editor is NOT a rewriter. An editor doesn't do the work for you. An editor surfaces what's weak and pushes you to fix it. That distinction is the whole assignment this week. When someone hands the editor a draft, the editor shouldn't produce a "fixed" version. The editor should point at the three lines that don't work, explain why, and hand it back to the writer to solve. ✍️ Generic feedback like "consider strengthening your intro" is a fail. Specific feedback like "your intro assumes the reader already knows what a Series A is, but this pub is read by generalists, so lead with the stakes instead of the jargon" is what a real editor does.
How would you have architected this from the start?
I built an internal AI workspace for a consulting firm (5 users). Each consultant has a workspace with structured markdown files (client context, skills, stages, output logs) — all orchestrated by Claude Code locally. The filesystem IS the database — folders = tables, .md files = records. It works perfectly on local machines. Now I need to take it online so the company owns the data centrally (not on individual PCs). Questions: 1. Is a filesystem-based architecture viable at this scale or do I need a real DB? 2. Can I connect a web interface directly to a centralized filesystem? ( Should i use VstudioCode Web or Recreate an Chat interface ) 3. How do you handle access control with file-based data? 4. What's the best way for users to interact with the agent + data remotely — VS Code web, custom UI, something else? Objectif are : The Company Own the Data - Agent Claude Code
Connection Hub: 📣 Marketing & Agencies
Intros for The Connection Hub - The Vault 👤 Who I am: (name + where you're based) 🛠️ What I actually do: (the specific work — not "I'm in real estate" but "I run a 3-agent team doing residential resale in Austin") 🤖 What I'm building with AI right now: (your current project, workflow, or the thing you're stuck on) 🎯 What I'm looking for connection-wise: (pick one or two) 💡 Someone who's solved [X] 🤝 A collaborator / accountability partner 👀 Just here to learn from people in my field 🧰 Trading workflows & systems 📬 Best way to reach me: (DM here / comment / link)
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